Deep Learning Reads 3D Point Clouds to Detect and Quantify Damage in Ancient Masonry Walls
Researchers at Southeast University have developed a deep learning framework that automatically detects and quantifies surface damage in masonry heritage ...
Researchers at Southeast University have developed a deep learning framework that automatically detects and quantifies surface damage in masonry heritage ...
Researchers have developed an automated framework that converts terrestrial laser scans into parametric 3D models of reinforced concrete beams, quantifying ...
Researchers at Aston University have created SEdgeNet, a graph neural network that recognises human activities from sparse millimetre-wave radar point ...
Researchers in Singapore have developed a semantic object-based descriptor called OSSC that improves loop closure detection for robots, enabling accurate ...
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© 2025 Scienmag - Science Magazine